Liam Ellis
Liam Ellis
Post-doctorate researcher, Linköping University
Verified email at liu.se - Homepage
TitleCited byYear
Discriminative Subspace Clustering
V Zografos, L Ellis, R Mester
CVPR 2013, 2013
312013
Linear regression and adaptive appearance models for fast simultaneous modelling and tracking
L Ellis, N Dowson, J Matas, R Bowden
International journal of computer vision 95 (2), 154-179, 2011
312011
Linear predictors for fast simultaneous modeling and tracking
L Ellis, N Dowson, J Matas, R Bowden
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
222007
Online learning for fast segmentation of moving objects
L Ellis, V Zografos
Asian Conference on Computer Vision, 52-65, 2012
112012
Autonomous Navigation and Sign Detector Learning
L Ellis, N Pugeault, K Öfjäll, J Hedborg, R Bowden, M Felsberg
10*
Online learning and partitioning of linear displacement predictors for tracking
L Ellis, J Matas, R Bowden
Proceedings of the British Machine Vision Conference, 33-42, 2008
82008
Sparse motion segmentation using multiple six-point consistencies
V Zografos, K Nordberg, L Ellis
Asian Conference on Computer Vision, 338-348, 2010
72010
Affordance mining: Forming perception through action
L Ellis, M Felsberg, R Bowden
Asian Conference on Computer Vision, 525-538, 2010
42010
Unsupervised symbol grounding and cognitive bootstrapping in cognitive vision
R Bowden, L Ellis, J Kittler, M Shevchenko, D Windridge
International Conference on Image Analysis and Processing, 27-36, 2005
32005
Learning responses to visual stimuli: A generic approach
L Ellis, R Bowden
Proceedings of the 5th International Conference on Computer Vision Systems, 2007
22007
Problem solving through imitation
EJ Ong, L Ellis, R Bowden
Image and Vision Computing 27 (11), 1715-1728, 2009
12009
A generalised exemplar approach to modeling perception action coupling
L Ellis, R Bowden
Tenth IEEE International Conference on Computer Vision Workshops (ICCVW'05 …, 2005
12005
Liam Ellis
L Ellis
Linköping University, 2012
2012
Linear Regression and Unsupervised Learning For Tracking and Embodied Robot Control
LF Ellis
PQDT-Global, 2010
2010
Access to the Document
L Ellis, R Bowden
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Articles 1–15